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ZHANG Haiou, QIU Lipeng, RUI Daoman, WANG Guilan, YU Yang. Visualized diagnosis for metallic parts deposition shaping quality[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (9): 1-4.
Citation: ZHANG Haiou, QIU Lipeng, RUI Daoman, WANG Guilan, YU Yang. Visualized diagnosis for metallic parts deposition shaping quality[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (9): 1-4.

Visualized diagnosis for metallic parts deposition shaping quality

  • Single-camera vision was used to monitor the deposition manufacturing process.By using of image processing technology, the deposition morphology information was processed to get the deposition width.The defect position was calculated by virtue of the spatial orientation mathematical model, which takes the defect pixel coordinate as the source.In the end, the experiment to monitor the deposition was carried out.The experimental results show that the mathematical model and the image processing arithmetic can monitor the deposition width precisely without contact.The method also can recognize and locate the possible defect point fleetly and accurately.Thus the method can adjust and optimize the technological parameter of the deposition to ensure the shape precision and the dimensional precision of the part.
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